PLE: A Reinforcement Learning Environment
=====================================================================

**PyGame Learning Environment (PLE)** is a learning environment, mimicking the Arcade Learning Environment interface, allowing a quick start to Reinforcement Learning in Python. The goal of PLE is allow practitioners to focus design of models and experiments instead of environment design.

PLE has only been tested with **Python 2.7.6**.

User Guide
------------

The PLE user guide below explains the different components inside of the library. It covers how to train a reinforcement learning agent, the environments structure and function, and the required methods if one wishes to add games to library. 

.. toctree::
   :maxdepth: 2

   /user/home
   /user/tutorial
   /user/games

API Reference
-------------

Information for specific classes and methods.

.. toctree::
   /modules/ple
   /modules/base


.. _GitHub: https://github.com/ntasfi/PyGame-Learning-Environment
